Superhuman Vision: AI Sees What You Can't | Akshat Dave | TEDxMIT

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Published on Jul 16, 2024 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

Title: Superhuman Vision: AI Sees What You Can't | Akshat Dave | TEDxMIT

Step-by-Step Tutorial: How AI Technology is Revolutionizing Vision

  1. Introduction to Superhuman Vision:

    • The human eye captures limited information about the visual world, and the brain has limited capacity to understand light interactions.
    • MIT is developing technologies to create artificial vision systems that surpass human vision by using extreme cameras and advanced AI.
  2. Seeing Around Objects:

    • Extreme cameras can capture dimensions of light invisible to humans.
    • AI technology can understand reflections and surroundings to "see around" objects.
    • By analyzing reflections, AI can reconstruct the environment around objects like an owl, enabling the prediction of potential collisions and enhancing safety in cars and robots.
  3. Seeing Within Objects:

    • Using polarized light and specialized cameras, AI can reveal stress fields within transparent objects.
    • Colored patterns visible through polarized sunglasses encode the mechanical properties and stress fields within objects.
    • This capability allows for non-destructive inspection of internal stresses in objects to prevent collapses or failures in structures.
  4. Applications of Superhuman Vision:

    • By combining extreme cameras and AI, it is possible to analyze stress fields, predict failures, and enhance safety in various structures and objects.
    • The future of AI with superhuman vision holds promises in discovering microscopic mechanisms, improving safety in robots and cars, and exploring invisible celestial events.
  5. Requirements for Superhuman Vision:

    • To achieve superhuman vision, advancements are needed in both extreme camera hardware and AI algorithms.
    • Current smartphone cameras mimic human vision, but extreme cameras are required to capture invisible light properties.
    • Extreme AI is essential to process data from extreme cameras and enable superhuman vision capabilities.
  6. Conclusion:

    • The future of superhuman vision enabled by extreme AI and extreme cameras is promising and will lead to groundbreaking advancements in various fields.
    • The revolution in superhuman vision will bring about new discoveries and innovations that were previously unimaginable.

By following these steps, you can understand how AI technology is revolutionizing vision and enabling superhuman capabilities that go beyond human limitations.